Details And Conventions
Tracks
The tracks that were available at the Demo Event are these ones:
|
TrackName
|
|
Llytse
|
|
Veormi
|
|
Mneshe
|
|
Phrypa
|
Adoption of Trimmed Mean
The trimmed mean is computed by discarting a certain percentage of the lowest and the highest scores in a ordered set of data and then computing the mean of the remaining scores. Trimmed means are used in certain sporting events (e.g. ice skating, gymnastics) to judge competitors’ levels of performance and to prevent the effects of extreme ratings, possibly caused by biased judges. In our case, there is quite always someone who doesn’t feel comfortable with the topic and gives so a low evaluation, and someone who’s a speaker’s friend, that overestimates his session.
Details Of Speakers
So let’s first calculate an auxiliary data frame containing the 10th and 90th percentile of the total evaluation distribution, given by the sum of the characteristic evaluations for each speaker:
|
SpeakerName
|
perc10
|
perc90
|
|
Averill Vespa
|
15.0
|
24.0
|
|
Coreen Domínguez
|
17.5
|
22.0
|
|
Delta Shelby
|
14.2
|
22.0
|
|
Elsabeth Fabbro
|
19.0
|
24.0
|
|
Enej Fini
|
19.0
|
24.0
|
|
Evander Corvi
|
17.0
|
22.5
|
|
Galen Manfredi
|
16.0
|
24.0
|
|
Goffredo Fava
|
15.4
|
23.0
|
|
Harrison Serpico
|
15.0
|
24.0
|
|
Irvine Fairburn
|
15.0
|
24.0
|
|
Kristine Harland
|
16.2
|
23.4
|
|
Millicent Quincey
|
18.0
|
24.0
|
|
Oleksander Wynne
|
17.0
|
24.0
|
|
Paislee Je
|
15.6
|
22.0
|
|
Purdie Badcock
|
18.0
|
24.0
|
|
Rhianna Clarke
|
15.0
|
24.0
|
|
Santos Coy
|
16.0
|
22.1
|
|
Sloan Combs
|
15.0
|
22.8
|
|
Sonny Rodríguez
|
16.1
|
20.8
|
|
Spencer Hargrave
|
18.2
|
23.0
|
|
Tobias Hobbes
|
19.0
|
19.8
|
|
Valentín Alexander
|
17.2
|
24.0
|
|
Virginia Devin
|
15.6
|
21.4
|
|
Vladimira Chancellor
|
17.0
|
23.0
|
We want to trim the values before the 10th percentile and after the 90th percentile of the distribution. The ‘ToBeTrimmed’ column identifies the rows out of the upon mentioned range. The NA values in the numeric columns are replaced with 0.
Here the whole row details for each speaker:
Averill Vespa
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Averill Vespa (Criminals without fear)
|
|
5
|
2
|
3
|
2
|
12
|
He speaks too fast
|
0
|
0
|
0
|
0
|
0
|
1
|
|
4
|
3
|
3
|
4
|
14
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
5
|
5
|
2
|
3
|
15
|
Too much concepts in this session
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
5
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
4
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
5
|
4
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
6
|
5
|
5
|
5
|
21
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Coreen Domínguez
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Coreen Domínguez (Accepting the river)
|
|
4
|
5
|
4
|
3
|
16
|
|
1
|
1
|
0
|
0
|
0
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
1
|
1
|
|
4
|
5
|
4
|
4
|
17
|
|
1
|
1
|
0
|
0
|
0
|
1
|
|
4
|
4
|
5
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
3
|
5
|
5
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
4
|
4
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
Please, use the microphone
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
4
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
Please, use the microphone
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
6
|
5
|
21
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
5
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
6
|
5
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
0
|
0
|
0
|
1
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Delta Shelby
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Delta Shelby (Fish and children)
|
|
5
|
1
|
1
|
1
|
8
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
4
|
3
|
3
|
3
|
13
|
|
1
|
0
|
0
|
1
|
0
|
1
|
|
4
|
4
|
4
|
3
|
15
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
6
|
3
|
3
|
3
|
15
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
3
|
16
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
5
|
4
|
17
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
6
|
5
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Elsabeth Fabbro
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Elsabeth Fabbro (Snake of freedom)
|
|
5
|
3
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
3
|
5
|
5
|
5
|
18
|
|
0
|
1
|
1
|
0
|
0
|
1
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
3
|
6
|
6
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
3
|
5
|
6
|
6
|
20
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
5
|
5
|
20
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
3
|
6
|
6
|
6
|
21
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
1
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Enej Fini
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Enej Fini (Blinded in the stars)
|
|
4
|
4
|
5
|
4
|
17
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
5
|
20
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
0
|
0
|
0
|
1
|
0
|
|
6
|
5
|
5
|
5
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
Very good session!
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
0
|
1
|
0
|
|
6
|
6
|
6
|
5
|
23
|
Really advanced!
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
5
|
6
|
23
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
0
|
0
|
0
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Evander Corvi
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Evander Corvi (Butcher without flaws)
|
|
3
|
4
|
4
|
5
|
16
|
|
1
|
0
|
0
|
1
|
0
|
1
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
3
|
6
|
6
|
6
|
21
|
|
1
|
1
|
1
|
1
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
1
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
0
|
1
|
1
|
0
|
1
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
1
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Galen Manfredi
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Galen Manfredi (Ruination without a conscience)
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
3
|
16
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
3
|
4
|
4
|
5
|
16
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
4
|
2
|
5
|
16
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
6
|
4
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
6
|
5
|
20
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
6
|
6
|
21
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
5
|
21
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Goffredo Fava
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Goffredo Fava (Mice of the end)
|
|
3
|
4
|
0
|
4
|
11
|
|
1
|
0
|
1
|
0
|
0
|
1
|
|
4
|
4
|
3
|
4
|
15
|
|
1
|
0
|
0
|
0
|
0
|
1
|
|
4
|
4
|
3
|
4
|
15
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
5
|
4
|
4
|
18
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
4
|
5
|
21
|
Definitions and formulas needed to better understand the session
|
1
|
1
|
0
|
1
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
0
|
1
|
1
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
the second part please a bit more slow
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
5
|
6
|
5
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
1
|
0
|
0
|
|
6
|
6
|
5
|
6
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Harrison Serpico
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Harrison Serpico (Emperor with money)
|
|
0
|
0
|
0
|
0
|
0
|
|
1
|
1
|
1
|
0
|
0
|
1
|
|
0
|
0
|
0
|
0
|
0
|
|
1
|
1
|
1
|
1
|
1
|
1
|
|
4
|
3
|
3
|
4
|
14
|
This session is tagged as Intermediate, but it’s for Beginners
|
1
|
1
|
1
|
0
|
1
|
1
|
|
5
|
3
|
3
|
4
|
15
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
4
|
4
|
4
|
3
|
15
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
3
|
4
|
5
|
16
|
|
1
|
0
|
1
|
0
|
1
|
0
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
6
|
18
|
Very good!
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
Really interesting
|
1
|
1
|
0
|
0
|
1
|
0
|
|
5
|
4
|
4
|
5
|
18
|
This session is tagged as Intermediate, but it’s for Beginners
|
1
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
6
|
18
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
0
|
1
|
1
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
5
|
4
|
6
|
20
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
5
|
6
|
5
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
6
|
5
|
21
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Irvine Fairburn
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Irvine Fairburn (Union of greatness)
|
|
4
|
5
|
0
|
4
|
13
|
|
0
|
1
|
0
|
0
|
1
|
1
|
|
1
|
4
|
3
|
5
|
13
|
|
0
|
1
|
1
|
0
|
1
|
1
|
|
5
|
5
|
4
|
3
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
1
|
1
|
1
|
1
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
3
|
5
|
19
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
0
|
1
|
1
|
0
|
|
5
|
5
|
6
|
5
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
1
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Kristine Harland
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Kristine Harland (Assassins of my imagination)
|
|
3
|
4
|
4
|
4
|
15
|
|
1
|
1
|
0
|
0
|
0
|
1
|
|
3
|
4
|
4
|
6
|
17
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
1
|
1
|
1
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
0
|
1
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Millicent Quincey
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Millicent Quincey (Descendants and bandits)
|
|
3
|
4
|
3
|
5
|
15
|
|
0
|
1
|
1
|
0
|
1
|
1
|
|
4
|
4
|
5
|
4
|
17
|
|
0
|
0
|
0
|
1
|
0
|
1
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
5
|
5
|
21
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
Really interesting!
|
0
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
1
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Oleksander Wynne
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Oleksander Wynne (Warrior of nightmares)
|
|
6
|
0
|
0
|
0
|
6
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
4
|
3
|
3
|
4
|
14
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
4
|
5
|
4
|
3
|
16
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
5
|
4
|
4
|
3
|
16
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
4
|
5
|
4
|
17
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
3
|
5
|
5
|
5
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
5
|
5
|
18
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
4
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
5
|
18
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
5
|
5
|
4
|
6
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
4
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
5
|
6
|
5
|
22
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
6
|
5
|
5
|
22
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
5
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
5
|
23
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Paislee Je
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Paislee Je (Wolves and hunters)
|
|
3
|
3
|
4
|
3
|
13
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
3
|
5
|
3
|
4
|
15
|
|
0
|
1
|
0
|
0
|
1
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
4
|
3
|
4
|
16
|
|
0
|
1
|
1
|
1
|
0
|
0
|
|
3
|
4
|
4
|
5
|
16
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
3
|
5
|
17
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Purdie Badcock
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Purdie Badcock (Priestess of perfection)
|
|
3
|
5
|
5
|
4
|
17
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
3
|
5
|
5
|
5
|
18
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
4
|
4
|
5
|
5
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
6
|
18
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
4
|
5
|
6
|
4
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
3
|
6
|
6
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
4
|
6
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
6
|
5
|
21
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
1
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Rhianna Clarke
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Rhianna Clarke (Rebels of the stockades)
|
|
0
|
5
|
0
|
6
|
11
|
|
0
|
1
|
1
|
0
|
0
|
1
|
|
4
|
4
|
2
|
5
|
15
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
4
|
4
|
3
|
4
|
15
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
3
|
5
|
4
|
5
|
17
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
4
|
5
|
19
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
0
|
0
|
1
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
0
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Santos Coy
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Santos Coy (Phantoms and strangers)
|
|
4
|
3
|
3
|
5
|
15
|
The session is too much for beginners
|
1
|
0
|
0
|
0
|
1
|
1
|
|
5
|
4
|
3
|
4
|
16
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
3
|
5
|
16
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
4
|
3
|
4
|
16
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
3
|
4
|
4
|
6
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
1
|
1
|
1
|
0
|
0
|
|
4
|
4
|
4
|
6
|
18
|
|
1
|
1
|
0
|
1
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
4
|
4
|
5
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
5
|
4
|
20
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
6
|
20
|
Too much GUI shown
|
1
|
1
|
1
|
0
|
0
|
0
|
|
6
|
4
|
4
|
6
|
20
|
|
1
|
0
|
0
|
1
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
4
|
5
|
6
|
20
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
4
|
5
|
20
|
|
1
|
0
|
0
|
1
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
1
|
0
|
1
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
1
|
1
|
0
|
|
5
|
5
|
6
|
6
|
22
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
6
|
6
|
5
|
6
|
23
|
|
1
|
1
|
0
|
1
|
0
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
1
|
0
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
1
|
1
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Sloan Combs
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Sloan Combs (God of greatness)
|
|
5
|
3
|
3
|
3
|
14
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
5
|
3
|
3
|
4
|
15
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
3
|
4
|
3
|
5
|
15
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
1
|
5
|
5
|
6
|
17
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
5
|
5
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
4
|
18
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
4
|
4
|
4
|
6
|
18
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
3
|
6
|
5
|
6
|
20
|
|
1
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
1
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
5
|
6
|
22
|
|
1
|
1
|
0
|
1
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Sonny Rodríguez
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Sonny Rodríguez (History of next year)
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
1
|
0
|
1
|
|
4
|
5
|
4
|
4
|
17
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
4
|
5
|
4
|
4
|
17
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
1
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
4
|
4
|
18
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
4
|
5
|
4
|
5
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
4
|
4
|
5
|
19
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
4
|
5
|
19
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
5
|
21
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Spencer Hargrave
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Spencer Hargrave (Possessed by the past)
|
|
4
|
4
|
3
|
5
|
16
|
|
0
|
1
|
1
|
0
|
1
|
1
|
|
5
|
5
|
4
|
3
|
17
|
|
0
|
1
|
0
|
0
|
1
|
1
|
|
5
|
4
|
3
|
6
|
18
|
|
0
|
1
|
1
|
0
|
1
|
1
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
Your speech is too much fast
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
1
|
1
|
1
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
1
|
1
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
6
|
5
|
6
|
6
|
23
|
|
0
|
1
|
0
|
1
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
1
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Tobias Hobbes
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Tobias Hobbes (Curse of the north)
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
4
|
6
|
19
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
3
|
6
|
5
|
6
|
20
|
|
0
|
1
|
1
|
1
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Valentín Alexander
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Valentín Alexander (Women of freedom)
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
1
|
|
5
|
5
|
4
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
5
|
4
|
4
|
19
|
|
1
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
5
|
5
|
5
|
19
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
0
|
1
|
1
|
0
|
0
|
|
4
|
5
|
5
|
6
|
20
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
4
|
5
|
5
|
20
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
4
|
6
|
5
|
6
|
21
|
|
0
|
1
|
1
|
1
|
1
|
0
|
|
4
|
6
|
6
|
5
|
21
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
5
|
5
|
21
|
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
4
|
22
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
5
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
1
|
1
|
0
|
1
|
1
|
0
|
|
6
|
6
|
6
|
6
|
24
|
|
0
|
1
|
0
|
0
|
1
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Virginia Devin
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Virginia Devin (Promises of the titans)
|
|
2
|
3
|
2
|
3
|
10
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
5
|
4
|
3
|
3
|
15
|
|
0
|
0
|
0
|
0
|
1
|
1
|
|
4
|
4
|
4
|
3
|
15
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
4
|
4
|
16
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
4
|
3
|
4
|
16
|
|
0
|
0
|
1
|
0
|
0
|
0
|
|
5
|
4
|
3
|
4
|
16
|
|
0
|
0
|
0
|
0
|
1
|
0
|
|
4
|
4
|
5
|
4
|
17
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
4
|
4
|
5
|
17
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
4
|
4
|
4
|
17
|
|
0
|
0
|
0
|
0
|
0
|
0
|
|
4
|
5
|
5
|
4
|
18
|
A co-speaker for Linux environment is needed
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
4
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
4
|
5
|
5
|
19
|
|
0
|
0
|
1
|
0
|
1
|
0
|
|
5
|
5
|
4
|
5
|
19
|
Slide decks were difficult to read
|
0
|
0
|
0
|
0
|
0
|
0
|
|
5
|
5
|
5
|
4
|
19
|
Slide decks were difficult to read
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
6
|
4
|
5
|
20
|
Not so much useful
|
0
|
0
|
0
|
0
|
1
|
0
|
|
6
|
4
|
5
|
5
|
20
|
A comparison with Windows was expected
|
0
|
1
|
1
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
5
|
6
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
5
|
4
|
6
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
6
|
6
|
5
|
22
|
|
0
|
1
|
0
|
1
|
1
|
1
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
0
|
0
|
0
|
0
|
1
|
|
6
|
6
|
6
|
6
|
24
|
The demo wasn’t working
|
0
|
1
|
0
|
0
|
0
|
1
|

The speaker’s attitudes are summarized by the following gauges:
Vladimira Chancellor
|
Expectation
|
Interesting
|
Useful
|
OralPresentation
|
TotalEvaluation
|
Notes
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
ToBeTrimmed
|
|
Vladimira Chancellor (Heirs without hate)
|
|
5
|
3
|
3
|
2
|
13
|
|
0
|
1
|
0
|
0
|
0
|
1
|
|
3
|
6
|
5
|
4
|
18
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
4
|
6
|
5
|
5
|
20
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
5
|
5
|
5
|
5
|
20
|
|
0
|
1
|
1
|
0
|
0
|
0
|
|
5
|
5
|
5
|
6
|
21
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
6
|
5
|
5
|
6
|
22
|
|
0
|
1
|
0
|
0
|
1
|
0
|
|
4
|
6
|
6
|
6
|
22
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
5
|
6
|
6
|
6
|
23
|
|
0
|
1
|
0
|
0
|
0
|
0
|
|
6
|
6
|
6
|
5
|
23
|
|
0
|
1
|
0
|
0
|
1
|
0
|

The speaker’s attitudes are summarized by the following gauges:
Statistics per Track
Now let’s take a look at the trimmed means for each speaker, grouping by the Trak. Some box plot and radar plot are provided.
Llytse Track

Speaker’s Trimmed Means and Standard Deviation per Characteristic and Number of Voters
|
SpeakerName
|
NumOfVoters
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
|
Averill Vespa
|
19
|
4.95 ± 0.85
|
5.21 ± 0.71
|
4.74 ± 0.99
|
4.95 ± 0.91
|
|
Goffredo Fava
|
19
|
5.00 ± 0.58
|
5.42 ± 0.77
|
5.00 ± 0.67
|
5.53 ± 0.70
|
|
Millicent Quincey
|
20
|
4.90 ± 0.85
|
5.55 ± 0.51
|
5.35 ± 0.75
|
5.60 ± 0.60
|
|
Purdie Badcock
|
18
|
4.50 ± 0.92
|
5.33 ± 0.69
|
5.39 ± 0.61
|
5.33 ± 0.69
|
|
Tobias Hobbes
|
2
|
4.00 ± 0.00
|
5.00 ± 0.00
|
4.50 ± 0.71
|
5.50 ± 0.71
|
|
Vladimira Chancellor
|
8
|
4.75 ± 1.04
|
5.62 ± 0.52
|
5.38 ± 0.52
|
5.38 ± 0.74
|

The evaluation mean and standard error by characteristic are the following:
|
TrackName
|
Characteristic
|
Evaluation_mean
|
Evaluation_sd
|
|
Llytse
|
Expectation
|
4.81
|
0.83
|
|
Llytse
|
Interesting
|
5.40
|
0.66
|
|
Llytse
|
Useful
|
5.13
|
0.78
|
|
Llytse
|
OralPresentation
|
5.36
|
0.75
|
|
Llytse
|
NumOfVoters
|
14.33
|
7.50
|
Here a detaild view of the speaker distributions around the mean (identified by the bars) by characteristic:
Veormi Track

Speaker’s Trimmed Means and Standard Deviation per Characteristic and Number of Voters
|
SpeakerName
|
NumOfVoters
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
|
Coreen Domínguez
|
29
|
4.76 ± 0.64
|
5.07 ± 0.53
|
5.10 ± 0.49
|
4.83 ± 0.60
|
|
Elsabeth Fabbro
|
24
|
4.71 ± 0.95
|
5.71 ± 0.55
|
5.58 ± 0.58
|
5.75 ± 0.53
|
|
Evander Corvi
|
13
|
4.23 ± 0.60
|
5.38 ± 0.65
|
5.23 ± 0.73
|
5.31 ± 0.63
|
|
Sloan Combs
|
14
|
3.93 ± 1.07
|
4.86 ± 0.86
|
4.36 ± 0.74
|
5.29 ± 0.73
|
|
Sonny Rodríguez
|
8
|
4.50 ± 0.76
|
4.88 ± 0.64
|
4.00 ± 0.00
|
4.50 ± 0.53
|
|
Valentín Alexander
|
24
|
5.17 ± 0.76
|
5.46 ± 0.59
|
5.33 ± 0.64
|
5.08 ± 0.72
|

The evaluation mean and standard error by characteristic are the following:
|
TrackName
|
Characteristic
|
Evaluation_mean
|
Evaluation_sd
|
|
Veormi
|
Expectation
|
4.65
|
0.88
|
|
Veormi
|
Interesting
|
5.29
|
0.68
|
|
Veormi
|
Useful
|
5.10
|
0.75
|
|
Veormi
|
OralPresentation
|
5.17
|
0.72
|
|
Veormi
|
NumOfVoters
|
18.67
|
8.14
|
Here a detaild view of the speaker distributions around the mean (identified by the bars) by characteristic:
Mneshe Track

Speaker’s Trimmed Means and Standard Deviation per Characteristic and Number of Voters
|
SpeakerName
|
NumOfVoters
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
|
Delta Shelby
|
15
|
4.60 ± 0.74
|
4.47 ± 0.64
|
4.60 ± 0.91
|
4.33 ± 0.98
|
|
Irvine Fairburn
|
14
|
5.00 ± 0.78
|
5.50 ± 0.52
|
5.14 ± 1.03
|
5.29 ± 0.83
|
|
Kristine Harland
|
5
|
4.20 ± 0.84
|
5.00 ± 0.71
|
4.60 ± 0.89
|
5.40 ± 0.55
|
|
Paislee Je
|
14
|
4.07 ± 0.47
|
4.79 ± 0.80
|
4.29 ± 0.91
|
4.86 ± 0.86
|
|
Rhianna Clarke
|
17
|
4.41 ± 0.87
|
5.06 ± 0.75
|
4.53 ± 1.07
|
5.18 ± 0.64
|
|
Spencer Hargrave
|
19
|
4.74 ± 0.56
|
5.58 ± 0.51
|
5.42 ± 0.51
|
5.53 ± 0.61
|

The evaluation mean and standard error by characteristic are the following:
|
TrackName
|
Characteristic
|
Evaluation_mean
|
Evaluation_sd
|
|
Mneshe
|
Expectation
|
4.55
|
0.75
|
|
Mneshe
|
Interesting
|
5.10
|
0.75
|
|
Mneshe
|
Useful
|
4.81
|
0.96
|
|
Mneshe
|
OralPresentation
|
5.08
|
0.85
|
|
Mneshe
|
NumOfVoters
|
14.00
|
4.82
|
Here a detaild view of the speaker distributions around the mean (identified by the bars) by characteristic:
Phrypa Track

Speaker’s Trimmed Means and Standard Deviation per Characteristic and Number of Voters
|
SpeakerName
|
NumOfVoters
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
|
Enej Fini
|
26
|
5.00 ± 0.75
|
5.46 ± 0.51
|
5.08 ± 0.69
|
5.50 ± 0.51
|
|
Galen Manfredi
|
28
|
4.79 ± 0.83
|
5.04 ± 0.79
|
5.04 ± 0.96
|
5.18 ± 0.86
|
|
Harrison Serpico
|
29
|
4.83 ± 0.80
|
5.17 ± 0.97
|
5.17 ± 1.00
|
5.45 ± 0.78
|
|
Oleksander Wynne
|
54
|
4.91 ± 0.73
|
5.24 ± 0.70
|
5.13 ± 0.75
|
5.13 ± 0.73
|
|
Santos Coy
|
26
|
4.73 ± 0.78
|
4.85 ± 0.67
|
4.65 ± 0.89
|
5.38 ± 0.70
|
|
Virginia Devin
|
21
|
4.76 ± 0.62
|
4.52 ± 0.60
|
4.38 ± 0.74
|
4.52 ± 0.60
|

The evaluation mean and standard error by characteristic are the following:
|
TrackName
|
Characteristic
|
Evaluation_mean
|
Evaluation_sd
|
|
Phrypa
|
Expectation
|
4.85
|
0.75
|
|
Phrypa
|
Interesting
|
5.09
|
0.77
|
|
Phrypa
|
Useful
|
4.96
|
0.87
|
|
Phrypa
|
OralPresentation
|
5.21
|
0.76
|
|
Phrypa
|
NumOfVoters
|
30.67
|
11.76
|
Here a detaild view of the speaker distributions around the mean (identified by the bars) by characteristic:

Statistics for All the Tracks
Let’s compare all the tracks.
Tracks’ Means and Standard Deviation per Characteristic and Voters per Session
|
TrackName
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
NumOfVoters_mean
|
|
Llytse
|
4.81 ± 0.83
|
5.40 ± 0.66
|
5.13 ± 0.78
|
5.36 ± 0.75
|
14.33 ± 7.50
|
|
Mneshe
|
4.55 ± 0.75
|
5.10 ± 0.75
|
4.81 ± 0.96
|
5.08 ± 0.85
|
14.00 ± 4.82
|
|
Phrypa
|
4.85 ± 0.75
|
5.09 ± 0.77
|
4.96 ± 0.87
|
5.21 ± 0.76
|
30.67 ± 11.76
|
|
Veormi
|
4.65 ± 0.88
|
5.29 ± 0.68
|
5.10 ± 0.75
|
5.17 ± 0.72
|
18.67 ± 8.14
|

Statistics for All the Speakers
Here some statistics to compare all the speakers.
Speakers comparison per Characteristic and Attutude
Here are reported the sum of votes each speaker has had for each characteristic:
Speaker’s Votes per Characteristic
|
SpeakerName
|
NumOfVoters
|
Expectation_mean
|
Interesting_mean
|
Useful_mean
|
OralPresentation_mean
|
|
Averill Vespa
|
19
|
4.95 ± 0.85
|
5.21 ± 0.71
|
4.74 ± 0.99
|
4.95 ± 0.91
|
|
Coreen Domínguez
|
29
|
4.76 ± 0.64
|
5.07 ± 0.53
|
5.10 ± 0.49
|
4.83 ± 0.60
|
|
Delta Shelby
|
15
|
4.60 ± 0.74
|
4.47 ± 0.64
|
4.60 ± 0.91
|
4.33 ± 0.98
|
|
Elsabeth Fabbro
|
24
|
4.71 ± 0.95
|
5.71 ± 0.55
|
5.58 ± 0.58
|
5.75 ± 0.53
|
|
Enej Fini
|
26
|
5.00 ± 0.75
|
5.46 ± 0.51
|
5.08 ± 0.69
|
5.50 ± 0.51
|
|
Evander Corvi
|
13
|
4.23 ± 0.60
|
5.38 ± 0.65
|
5.23 ± 0.73
|
5.31 ± 0.63
|
|
Galen Manfredi
|
28
|
4.79 ± 0.83
|
5.04 ± 0.79
|
5.04 ± 0.96
|
5.18 ± 0.86
|
|
Goffredo Fava
|
19
|
5.00 ± 0.58
|
5.42 ± 0.77
|
5.00 ± 0.67
|
5.53 ± 0.70
|
|
Harrison Serpico
|
29
|
4.83 ± 0.80
|
5.17 ± 0.97
|
5.17 ± 1.00
|
5.45 ± 0.78
|
|
Irvine Fairburn
|
14
|
5.00 ± 0.78
|
5.50 ± 0.52
|
5.14 ± 1.03
|
5.29 ± 0.83
|
|
Kristine Harland
|
5
|
4.20 ± 0.84
|
5.00 ± 0.71
|
4.60 ± 0.89
|
5.40 ± 0.55
|
|
Millicent Quincey
|
20
|
4.90 ± 0.85
|
5.55 ± 0.51
|
5.35 ± 0.75
|
5.60 ± 0.60
|
|
Oleksander Wynne
|
54
|
4.91 ± 0.73
|
5.24 ± 0.70
|
5.13 ± 0.75
|
5.13 ± 0.73
|
|
Paislee Je
|
14
|
4.07 ± 0.47
|
4.79 ± 0.80
|
4.29 ± 0.91
|
4.86 ± 0.86
|
|
Purdie Badcock
|
18
|
4.50 ± 0.92
|
5.33 ± 0.69
|
5.39 ± 0.61
|
5.33 ± 0.69
|
|
Rhianna Clarke
|
17
|
4.41 ± 0.87
|
5.06 ± 0.75
|
4.53 ± 1.07
|
5.18 ± 0.64
|
|
Santos Coy
|
26
|
4.73 ± 0.78
|
4.85 ± 0.67
|
4.65 ± 0.89
|
5.38 ± 0.70
|
|
Sloan Combs
|
14
|
3.93 ± 1.07
|
4.86 ± 0.86
|
4.36 ± 0.74
|
5.29 ± 0.73
|
|
Sonny Rodríguez
|
8
|
4.50 ± 0.76
|
4.88 ± 0.64
|
4.00 ± 0.00
|
4.50 ± 0.53
|
|
Spencer Hargrave
|
19
|
4.74 ± 0.56
|
5.58 ± 0.51
|
5.42 ± 0.51
|
5.53 ± 0.61
|
|
Tobias Hobbes
|
2
|
4.00 ± 0.00
|
5.00 ± 0.00
|
4.50 ± 0.71
|
5.50 ± 0.71
|
|
Valentín Alexander
|
24
|
5.17 ± 0.76
|
5.46 ± 0.59
|
5.33 ± 0.64
|
5.08 ± 0.72
|
|
Virginia Devin
|
21
|
4.76 ± 0.62
|
4.52 ± 0.60
|
4.38 ± 0.74
|
4.52 ± 0.60
|
|
Vladimira Chancellor
|
8
|
4.75 ± 1.04
|
5.62 ± 0.52
|
5.38 ± 0.52
|
5.38 ± 0.74
|
The rank for each characteristic can be easely view thanks to the following circle plot: 
Speaker’s Votes per Attitude. The rate is given by the referring variable divided by the number of voters
|
SpeakerName
|
NumOfVoters
|
IsFunny
|
IsExpert
|
IsOrator
|
IsMotivator
|
IsTeacher
|
IsFunnyRate
|
IsExpertRate
|
IsOratorRate
|
IsMotivatorRate
|
IsTeacherRate
|
|
Averill Vespa
|
19
|
3
|
16
|
3
|
0
|
8
|
0.16
|
0.84
|
0.16
|
0.00
|
0.42
|
|
Coreen Domínguez
|
29
|
9
|
21
|
3
|
2
|
9
|
0.31
|
0.72
|
0.10
|
0.07
|
0.31
|
|
Delta Shelby
|
15
|
10
|
5
|
1
|
4
|
0
|
0.67
|
0.33
|
0.07
|
0.27
|
0.00
|
|
Elsabeth Fabbro
|
24
|
13
|
20
|
6
|
6
|
6
|
0.54
|
0.83
|
0.25
|
0.25
|
0.25
|
|
Enej Fini
|
26
|
8
|
22
|
4
|
3
|
6
|
0.31
|
0.85
|
0.15
|
0.12
|
0.23
|
|
Evander Corvi
|
13
|
7
|
8
|
6
|
8
|
2
|
0.54
|
0.62
|
0.46
|
0.62
|
0.15
|
|
Galen Manfredi
|
28
|
15
|
21
|
4
|
4
|
5
|
0.54
|
0.75
|
0.14
|
0.14
|
0.18
|
|
Goffredo Fava
|
19
|
14
|
17
|
7
|
7
|
2
|
0.74
|
0.89
|
0.37
|
0.37
|
0.11
|
|
Harrison Serpico
|
29
|
18
|
22
|
18
|
10
|
16
|
0.62
|
0.76
|
0.62
|
0.34
|
0.55
|
|
Irvine Fairburn
|
14
|
4
|
9
|
6
|
6
|
9
|
0.29
|
0.64
|
0.43
|
0.43
|
0.64
|
|
Kristine Harland
|
5
|
5
|
4
|
2
|
2
|
2
|
1.00
|
0.80
|
0.40
|
0.40
|
0.40
|
|
Millicent Quincey
|
20
|
2
|
15
|
4
|
4
|
11
|
0.10
|
0.75
|
0.20
|
0.20
|
0.55
|
|
Oleksander Wynne
|
54
|
3
|
37
|
6
|
2
|
32
|
0.06
|
0.69
|
0.11
|
0.04
|
0.59
|
|
Paislee Je
|
14
|
3
|
11
|
4
|
3
|
8
|
0.21
|
0.79
|
0.29
|
0.21
|
0.57
|
|
Purdie Badcock
|
18
|
3
|
15
|
3
|
4
|
11
|
0.17
|
0.83
|
0.17
|
0.22
|
0.61
|
|
Rhianna Clarke
|
17
|
4
|
14
|
4
|
4
|
3
|
0.24
|
0.82
|
0.24
|
0.24
|
0.18
|
|
Santos Coy
|
26
|
18
|
16
|
9
|
9
|
7
|
0.69
|
0.62
|
0.35
|
0.35
|
0.27
|
|
Sloan Combs
|
14
|
11
|
12
|
6
|
3
|
1
|
0.79
|
0.86
|
0.43
|
0.21
|
0.07
|
|
Sonny Rodríguez
|
8
|
2
|
2
|
3
|
0
|
3
|
0.25
|
0.25
|
0.38
|
0.00
|
0.38
|
|
Spencer Hargrave
|
19
|
0
|
18
|
8
|
3
|
10
|
0.00
|
0.95
|
0.42
|
0.16
|
0.53
|
|
Tobias Hobbes
|
2
|
0
|
1
|
0
|
0
|
0
|
0.00
|
0.50
|
0.00
|
0.00
|
0.00
|
|
Valentín Alexander
|
24
|
3
|
17
|
7
|
3
|
14
|
0.12
|
0.71
|
0.29
|
0.12
|
0.58
|
|
Virginia Devin
|
21
|
0
|
11
|
5
|
0
|
10
|
0.00
|
0.52
|
0.24
|
0.00
|
0.48
|
|
Vladimira Chancellor
|
8
|
0
|
8
|
1
|
0
|
4
|
0.00
|
1.00
|
0.12
|
0.00
|
0.50
|
In the same way it’s possible to visualize the ranking for each attitude:
Speakers Overall Ranking
Averaging the sum of all characteristics’ votes, is possible to have an overall ranking for the speakers. Here a visualization of the ranking, including the standard deviation for each speaker:
